51 to 71 of 71 Hugging Face Jobs in England

learning or transformer based architectures • Hands on experience building and maintaining Frontend applications - React, Typescript • Strong programming background in Python and or relevant frameworks such as TensorFlow, PyTorch or Hugging Face • Fluent in cloud native development, containerisation, orchestration (for example Docker or Kubernetes) and CI/CD • Exceptional problem solver with an entrepreneurial mindset who is comfortable with More ❯

and agentic workflows Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval Infrastructure : Knowledge of More ❯

real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/ More ❯

first model Experience: Master’s degree in a Computing or AI-related discipline Strong Python skills and experience with machine learning or LLM frameworks (such as PyTorch, TensorFlow, or Hugging Face) Enthusiasm for building AI systems from the ground up in a small, ambitious team This is a chance to be part of a cutting-edge AI product More ❯

first model Experience: Master’s degree in a Computing or AI-related discipline Strong Python skills and experience with machine learning or LLM frameworks (such as PyTorch, TensorFlow, or Hugging Face) Enthusiasm for building AI systems from the ground up in a small, ambitious team This is a chance to be part of a cutting-edge AI product More ❯

solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. More ❯

/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge of More ❯

powering AI agents and intelligent systems. Innovate in NLP, generative AI, and MLOps to deliver robust, scalable AI solutions. Key Responsibilities : Develop ML models using libraries like Scikit-learn, Hugging Face, and LangChain. Lead model training, tuning, and deployment activities. Implement MLOps pipelines enabling continuous integration/delivery of ML models. Collaborate with cross-functional teams for integration More ❯

AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. If you want to lead Machine More ❯

web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test-driven or behaviour More ❯

web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test-driven or behaviour More ❯

ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯

ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯

teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/Hugging Face/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯

commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready More ❯

and writing feature/unit tests Ability to refactor legacy applications using modern standards Desirable Skills Experience with React or Vue.js Familiarity with AI tools/APIs (e.g., OpenAI, Hugging Face) Exposure to CI/CD pipelines Experience with Meilisearch and WebSockets More ❯

and writing feature/unit tests Ability to refactor legacy applications using modern standards Desirable Skills Experience with React or Vue.js Familiarity with AI tools/APIs (e.g., OpenAI, Hugging Face) Exposure to CI/CD pipelines Experience with Meilisearch and WebSockets More ❯

understand large and fast-moving websites. The company has raised a $1.8m pre-seed from tier-1 seed investors and angels who have backed companies like Figma, Revolut, Notion, Hugging Face, Vercel, and Wise. Fruitful aims to address the challenges of understanding software in a world of infinite software where code is not written by humans. Fruitful's More ❯

to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯

to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯

this space. The role The role is building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. … applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be More ❯